
# Function to print upper half of diamond (pyramid)




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Any)   ->       Optional[int]:






							'''simple docstring'''





							for i in range(0		,    _lowerCamelCase):
														for _ in range(0		,    n - i - 1):  # printing spaces
																					print(" "		,    end="")
														for _ in range(0		,    i + 1):  # printing stars
																					print("* "		,    end="")
														print()




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Union[str, Any])   ->       str:






							'''simple docstring'''





							for i in range(_lowerCamelCase		,    0		,    -1):
														for _ in range(_lowerCamelCase		,    0		,    -1):  # printing stars
																					print("* "		,    end="")
														print()
														for _ in range(n - i + 1		,    0		,    -1):  # printing spaces
																					print(" "		,    end="")




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Optional[Any])   ->       Tuple:






							'''simple docstring'''





							if n <= 0:
														print("       ...       ....        nothing printing :(")
														return
							floyd(_lowerCamelCase)  # upper half
							reverse_floyd(_lowerCamelCase)  # lower half


if __name__ == "__main__":
		print(R'| /\ | |- |  |-  |--| |\  /| |-')
		print(R'|/  \| |- |_ |_  |__| | \/ | |_')
		lowercase    :   Union[str, Any]						=			1
		while K:
				lowercase    :   List[Any]						=			int(input('enter the number and , and see the magic : '))
				print()
				pretty_print(user_number)
				lowercase    :   str						=			int(input('press 0 to exit... and 1 to continue...'))

		print('Good Bye...')

from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip